← back to catalog · registered 2026-08-22 13:56

MaziyarPanahi/MFANN-Llama3.1-Abliterated-Slerp-TIES-GGUF

MaziyarPanahi Mistral GGUF second-order 131K ctx
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Response includes
  • classification m5
  • files 9
  • benchmarks 5 entries
  • hub_downloads_all_time 1,231
  • author_summary 36 models
  • readme_text full
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Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • abliterated marker present
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
1K
126 last 30d - stable
Likes
0
Model age
23mo ago
created 2024-11-01
Downloads over time
Now1.3K→from102↑1,146%
04659301.4K102 on Oct 30, 20241.3K on Oct 11Oct '24Feb '25Jun '25Oct '25FebJunOct
Oct 30, 2024 → Oct 11 · 141 snapshots · spans 711 days

Benchmarks

Benchmark Score Source
BBH average 0.45206901024776236 OpenLLM-v2
IFEval instruct 0.4964028776978418 OpenLLM-v2
IFEval-Prompt 0.36229205175600737 OpenLLM-v2
MATH lvl 5 0.05966767371601209 OpenLLM-v2
MMLU-Pro 0.3531416223404255 OpenLLM-v2

Genealogy 0 direct forks

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Metadata

Quantizations
F16 Q5_K Q6_K Q8_0
Tags
gguf mistral quantized 2-bit 3-bit 4-bit 5-bit 6-bit 8-bit GGUF text-generation base_model:netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES

Related

Total size
39.6 GB
Files
9
Quantizations
5
Registered
2026-08-22 13:56
Last updated on HF
2024-11-01 21:05

Files by quantization

F16 1 file 15.0 GB
MFANN-Llama3.1-Abliterated-Slerp-TIES.fp16.gguf 15.0 GB e59b53a0 download
Q8_0 1 file 7.95 GB
MFANN-Llama3.1-Abliterated-Slerp-TIES.Q8_0.gguf 7.95 GB f259aa89 download
Q6_K 1 file 6.14 GB
MFANN-Llama3.1-Abliterated-Slerp-TIES.Q6_K.gguf 6.14 GB dba3e02d download
Q5_K 2 files 10.6 GB
MFANN-Llama3.1-Abliterated-Slerp-TIES.Q5_K_M.gguf 5.34 GB 64d4646a download
MFANN-Llama3.1-Abliterated-Slerp-TIES.Q5_K_S.gguf 5.22 GB a5cdb015 download
Auxiliary files 4 files 4.76 MB
MFANN-Llama3.1-Abliterated-Slerp-TIES-GGUF_imatrix.dat 4.76 MB b1a3e058 download
README.md 3.08 KB bc439044 download
.gitattributes 1.99 KB 200aadfa download
config.json 31.0 B 9f0f76f8 download

README current version from Hugging Face


tags:

  • quantized
  • 2-bit
  • 3-bit
  • 4-bit
  • 5-bit
  • 6-bit
  • 8-bit
  • GGUF
  • text-generation
  • text-generation
    model_name: MFANN-Llama3.1-Abliterated-Slerp-TIES-GGUF
    base_model: netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES
    inference: false
    model_creator: netcat420
    pipeline_tag: text-generation
    quantized_by: MaziyarPanahi

MaziyarPanahi/MFANN-Llama3.1-Abliterated-Slerp-TIES-GGUF

Description

MaziyarPanahi/MFANN-Llama3.1-Abliterated-Slerp-TIES-GGUF contains GGUF format model files for netcat420/MFANN-Llama3.1-Abliterated-Slerp-TIES.

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

Here is an incomplete list of clients and libraries that are known to support GGUF:

  • llama.cpp. The source project for GGUF. Offers a CLI and a server option.
  • llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
  • LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
  • text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
  • KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
  • GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
  • LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
  • Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
  • candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
  • ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.

Special thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2024-11-01Upload folder using huggingface_hub (#1)8fe89223.1 KB
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Discussions 1 thread

  1. 2024-11-01PRUpload folder using huggingface_hubmerged3 💬#1
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